What Are the Challenges in Modeling Heterogeneous Mixing?
Despite their advantages, there are several challenges associated with modeling heterogeneous mixing patterns:
Data Collection: Accurate data on contact patterns is often difficult to obtain. Surveys, diaries, and digital tracking are some methods used, but each has its limitations. Computational Complexity: Models that incorporate heterogeneous mixing are often more complex and computationally intensive than homogeneous models. Parameter Estimation: Estimating the parameters that define heterogeneous mixing patterns can be challenging, especially when data is sparse or noisy.
